SOTAVerified

Object Counting

The goal of Object Counting task is to count the number of object instances in a single image or video sequence. It has many real-world applications such as traffic flow monitoring, crowdedness estimation, and product counting.

Source: Learning to Count Objects with Few Exemplar Annotations

Papers

Showing 51100 of 158 papers

TitleStatusHype
Counting with Adaptive Auxiliary LearningCode1
Training-free Object Counting with PromptsCode1
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question AnsweringCode1
RGB-D Indiscernible Object Counting in Underwater ScenesCode1
CounTR: Transformer-based Generalised Visual CountingCode1
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance SamplingCode1
Few-shot Object Counting with Similarity-Aware Feature EnhancementCode1
Teaching CLIP to Count to TenCode1
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak SupervisionCode1
Zero-shot Object Counting with Good ExemplarsCode1
Learning To Count EverythingCode1
VLCounter: Text-aware Visual Representation for Zero-Shot Object CountingCode1
YOLO9000: Better, Faster, StrongerCode1
Reverse Perspective Network for Perspective-Aware Object Counting0
RSVQA: Visual Question Answering for Remote Sensing Data0
Segmentação e contagem de troncos de madeira utilizando deep learning e processamento de imagens0
SIMCO: SIMilarity-based object COunting0
Single Image Object Counting and Localizing using Active-Learning0
Zero-Shot Object Counting with Language-Vision Models0
A Causal Lens for Evaluating Faithfulness Metrics0
A-CCNN: adaptive ccnn for density estimation and crowd counting0
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video0
A Few-Shot Sequential Approach for Object Counting0
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images0
An Image Processing based Object Counting Approach for Machine Vision Application0
AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis0
Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?0
A Statistical Method for Object Counting0
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches0
Boundary Attention Constrained Zero-Shot Layout-To-Image Generation0
ChatGPT and general-purpose AI count fruits in pictures surprisingly well0
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection0
Contextual Hourglass Networks for Segmentation and Density Estimation0
Counting and Locating High-Density Objects Using Convolutional Neural Network0
Counting dense objects in remote sensing images0
Counting Objects in a Robotic Hand0
Counting Stacked Objects from Multi-View Images0
Counting the uncountable: deep semantic density estimation from Space0
Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Review0
DeepSetNet: Predicting Sets with Deep Neural Networks0
Density Map Distillation for Incremental Object Counting0
Diffusion-based Data Augmentation for Object Counting Problems0
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting0
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images0
Do Object Detection Localization Errors Affect Human Performance and Trust?0
Drone-based Object Counting by Spatially Regularized Regional Proposal Network0
Dynamic Conditional Networks for Few-Shot Learning0
Effectiveness Assessment of Recent Large Vision-Language Models0
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark0
Enhancing Zero-shot Counting via Language-guided Exemplar Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FamNetMAE(test)22.08Unverified
2Omnicount (Open vocabulary, multi-label, without training)MAE(test)18.63Unverified
3RCCMAE(test)17.12Unverified
4Counting-DETRMAE(test)16.79Unverified
5CounTX (uses text descriptions instead of visual exemplars)MAE(test)15.88Unverified
6LaoNetMAE(test)15.78Unverified
7BMNet+MAE(test)14.62Unverified
8SAFECountMAE(test)14.32Unverified
9GCA-SUNMAE(test)14Unverified
10SPDCNMAE(test)13.51Unverified
#ModelMetricClaimedVerifiedStatus
1YOLO (2016)MAE156Unverified
2YOLO9000opt (2017)MAE130.4Unverified
3Faster R-CNN (2015)MAE39.88Unverified
4RetinaNet (2018)MAE24.58Unverified
5LPN Counting (2017)MAE22.76Unverified
6One-Look Regression (2016)MAE21.88Unverified
7RetinaNet (2018)MAE16.62Unverified
8CounTX (uses arbitrary text input to specify object to count, used "the cars" for CARPK)MAE8.13Unverified
9Soft-IoU + EM-Merger unitMAE6.77Unverified
10VLCounterMAE6.46Unverified
#ModelMetricClaimedVerifiedStatus
1Fast-RCNNm-reIRMSE-nz0.85Unverified
2glance-noft-2Lm-reIRMSE-nz0.73Unverified
3LC-PSPNetm-reIRMSE-nz0.7Unverified
4Seq-sub-ft-3x3m-reIRMSE-nz0.68Unverified
5ensm-reIRMSE-nz0.65Unverified
6Supervised Density Mapm-reIRMSE-nz0.61Unverified
7LC-ResFCNm-reIRMSE-nz0.61Unverified
8OmnicountmRMSE0Unverified
#ModelMetricClaimedVerifiedStatus
1Aso-sub-ft-3x3m-reIRMSE0.24Unverified
2glance-ft-2Lm-reIRMSE0.23Unverified
3Fast-RCNNm-reIRMSE0.2Unverified
4LC-ResFCNm-reIRMSE0.19Unverified
5Seq-sub-ft-3x3m-reIRMSE0.18Unverified
6Supervised Density Mapm-reIRMSE0.18Unverified
7ensm-reIRMSE0.18Unverified
#ModelMetricClaimedVerifiedStatus
1SMoLA-PaLI-X SpecialistAccuracy77.1Unverified
2PaLI-X-VPDAccuracy76.6Unverified
3SMoLA-PaLI-X Generalist (0 shot)Accuracy70.7Unverified
4MoVie-ResNeXtAccuracy56.8Unverified
5RCNAccuracy56.2Unverified
6MoVieAccuracy54.1Unverified
#ModelMetricClaimedVerifiedStatus
1SMoLA-PaLI-X SpecialistAccuracy86.3Unverified
2PaLI-X-VPDAccuracy86.2Unverified
3SMoLA-PaLI-X Generalist (0 shot)Accuracy83.3Unverified
4MoVie-ResNeXtAccuracy74.9Unverified
5RCNAccuracy71.8Unverified
6MoVieAccuracy70.8Unverified
#ModelMetricClaimedVerifiedStatus
1MoVie-ResNeXtAccuracy64Unverified
2MoVieAccuracy61.2Unverified
3RCNAccuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CEOESmRMSE0.42Unverified
2ILCmRMSE0.29Unverified
3TFOCmRMSE0.01Unverified
#ModelMetricClaimedVerifiedStatus
1OmnicountmRMSE0Unverified
#ModelMetricClaimedVerifiedStatus
1GauNet (ResNet-50)MAE2.1Unverified